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Entry Level Geospatial Data Engineer Jobs in Seattle, WA

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry-Level Product Review Engineer Company: The Boeing Company Boeing Defense, Space & Security ... Identifies analyses fleet data, collects and evaluates data on customer findings for product ...

Entry-Level Product Review Engineer Company: The Boeing Company Boeing Defense, Space & Security ... Identifies analyses fleet data, collects and evaluates data on customer findings for product ...

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

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Entry Level Geospatial Data Engineer information

See Seattle, WA salary details

$6

$53

$102

How much do entry level geospatial data engineer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for entry level geospatial data engineer in Seattle, WA is $53.07, according to ZipRecruiter salary data. Most workers in this role earn between $40.77 and $65.67 per hour, depending on experience, location, and employer.

Can I get a data engineer job with no experience?

Entry level geospatial data engineer positions typically require some knowledge of GIS tools, programming languages like Python or SQL, and data management skills. While prior experience is often preferred, candidates with relevant coursework, certifications, or strong technical skills can sometimes qualify for entry-level roles and demonstrate their potential through projects or internships.

What are the key skills and qualifications needed to thrive as an Entry Level Geospatial Data Engineer, and why are they important?

To thrive as an Entry Level Geospatial Data Engineer, a solid understanding of GIS concepts, spatial data analysis, and a relevant degree in geography, computer science, or a related field is essential. Familiarity with tools like ArcGIS, QGIS, Python, and SQL, as well as experience with geospatial databases, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals excel in collaborating with teams and interpreting complex data. These skills ensure accurate geospatial solutions and support critical decision-making in industries like urban planning, environmental management, and logistics.

What engineer makes $500,000 a year?

While most entry-level geospatial data engineers do not earn that amount, senior or specialized engineers with extensive experience, advanced skills in GIS software, programming, and data management can reach or exceed $500,000 annually, especially in high-demand industries or senior leadership roles. Such compensation often includes bonuses, stock options, or other incentives.

Will GIS be overtaken by AI?

GIS (Geographic Information Systems) and AI are complementary technologies; AI can enhance geospatial data analysis and automate tasks within GIS workflows. Entry-level geospatial data engineers often use AI tools like machine learning algorithms to improve data processing, but GIS skills remain essential for spatial data management and interpretation. AI is expected to augment rather than replace traditional GIS roles in the near future.

What are entry level geospatial data engineers?

Entry level geospatial data engineers are professionals who work with geographic information systems (GIS) and spatial data to collect, process, and analyze location-based information. They use programming, data management tools, and mapping software to support projects in fields such as urban planning, environmental science, and logistics. At the entry level, these engineers assist in database maintenance, data cleaning, and creating visualizations while learning industry standards and best practices.

Is GIS analyst entry-level?

GIS analyst roles can be entry-level or require more experience, depending on the employer. Entry-level GIS analysts typically have a bachelor's degree in geography, GIS, or related fields and may use tools like ArcGIS or QGIS. These positions often involve basic data management, mapping, and spatial analysis tasks.

What is the difference between Entry Level Geospatial Data Engineer vs GIS Analyst?

AspectEntry Level Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography; certifications like GISP are common
Work EnvironmentData processing, database management, scripting, software developmentMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, consulting firms
Common Search & ComparisonYesYes

Entry Level Geospatial Data Engineers focus on building and managing spatial data systems, often involving programming and database skills. GIS Analysts primarily analyze and visualize spatial data to support decision-making. While both roles require GIS knowledge, Data Engineers emphasize data infrastructure, whereas Analysts focus on spatial analysis and reporting.

What are some common challenges faced by entry level geospatial data engineers when working with large spatial datasets?

Entry level geospatial data engineers often encounter challenges related to the size and complexity of spatial datasets, such as slow processing times, data quality issues, and difficulties with data integration from various sources. Learning to use specialized tools like GIS software and spatial databases efficiently is crucial for handling these challenges. Collaborating with more experienced engineers and data scientists can help new hires develop best practices for data cleaning, transformation, and visualization, which are key skills in this role.
What are the most commonly searched types of Geospatial Data Engineer jobs in Seattle, WA? The most popular types of Geospatial Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Geospatial Data Engineer jobs in Seattle, WA? For Entry Level Geospatial Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Geospatial Data Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Geospatial Data Engineer jobs in Seattle, WA are:
Junior Java/MERN Developer /Junior AI & Machine Learning Engineer

Junior Java/MERN Developer /Junior AI & Machine Learning Engineer

SynergisticIT

Seattle, WA

Other

Posted 9 days ago


Job description

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